No time to read today but I am trying to determine what the current system for documenting and accounting for death in Canada is. (My technique is a bit hap-hazard as I don't always know the proper phrasing and Google has taken me to some strange websites )
So far I have found these which seem promising, I'll try to read them at lunch. What are your thoughts, anyone?

The Canadian Human Mortality Database (CHMD) was created to provide detailed Canadian mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity. The project is an achievement of the Mortality and Longevity research team at the Department of Demography, Université de Montréal, under the supervision of Professor Robert Bourbeau, in collaboration with demographers at the Max Plank Institute for Demographic Research (Rostock, Germany) and the Department of Demography, University of California at Berkeley. Nadine Ouellette, a Ph.D. Student and member of the Mortality and Longevity research team, is in charge of computing all CHMD life tables and updating the CHMD web site.

The CHMD is a “satellite” of the Human Mortality Database (HMD), an international database which currently holds detailed data for 31 countries or regions. Consequently, the CHMD’s underlying methodology corresponds to the one used for the HMD.

The increasing capacity of users to incorporate statistical information in their decision-making
and research challenges statistical agencies to improve the quality and breadth of their
information. This increasing demand is also accompanied by a rapidly changing technological
environment and the increasing skill of the workforce for bringing together and analyzing data.
For example, vital statistics, census, administrative and survey data are used for a multiplicity of
purposes, and data are integrated from a number of different sources. One important tool to
achieve the integration of these data is by computerized record linkage. Record linkage is the
bringing together of two or more records, usually in order to match up those records relating to
the same individual, family, event or entity. This paper will examine some of the practical
methods developed at Statistics Canada to improve the searching, comparison and grouping of
records in a typical generalized linkage process. Some background is also provided as to why
record linkage of health data is needed, and some of the current initiatives that are furthering this
work in Canada.

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